Stratification of unresponsive patients by an independently validated index of brain complexity

Detalhes bibliográficos
Autor(a) principal: Casarotto, Silvia
Data de Publicação: 2016
Outros Autores: Comanducci, Angela, Rosanova, Mario, Sarasso, Simone, Fecchio, Matteo, Napolitani, Martino, Pigorini, Andrea, Casali, Adenauer Girardi [UNIFESP], Trimarchi, Pietro D., Boly, Melanie, Gosseries, Olivia, Bodart, Olivier, Curto, Francesco, Landi, Cristina, Mariotti, Maurizio, Devalle, Guya, Laureys, Steven, Tononi, Giulio, Massimini, Marcello
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNIFESP
Texto Completo: https://repositorio.unifesp.br/handle/11600/56828
http://dx.doi.org/10.1002/ana.24779
Resumo: ObjectiveValidating objective, brain-based indices of consciousness in behaviorally unresponsive patients represents a challenge due to the impossibility of obtaining independent evidence through subjective reports. Here we address this problem by first validating a promising metric of consciousnessthe Perturbational Complexity Index (PCI)in a benchmark population who could confirm the presence or absence of consciousness through subjective reports, and then applying the same index to patients with disorders of consciousness (DOCs). MethodsThe benchmark population encompassed 150 healthy controls and communicative brain-injured subjects in various states of conscious wakefulness, disconnected consciousness, and unconsciousness. Receiver operating characteristic curve analysis was performed to define an optimal cutoff for discriminating between the conscious and unconscious conditions. This cutoff was then applied to a cohort of noncommunicative DOC patients (38 in a minimally conscious state [MCS] and 43 in a vegetative state [VS]). ResultsWe found an empirical cutoff that discriminated with 100% sensitivity and specificity between the conscious and the unconscious conditions in the benchmark population. This cutoff resulted in a sensitivity of 94.7% in detecting MCS and allowed the identification of a number of unresponsive VS patients (9 of 43) with high values of PCI, overlapping with the distribution of the benchmark conscious condition. InterpretationGiven its high sensitivity and specificity in the benchmark and MCS population, PCI offers a reliable, independently validated stratification of unresponsive patients that has important physiopathological and therapeutic implications. In particular, the high-PCI subgroup of VS patients may retain a capacity for consciousness that is not expressed in behavior. Ann Neurol 2016;80:718-729
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spelling Casarotto, SilviaComanducci, AngelaRosanova, MarioSarasso, SimoneFecchio, MatteoNapolitani, MartinoPigorini, AndreaCasali, Adenauer Girardi [UNIFESP]Trimarchi, Pietro D.Boly, MelanieGosseries, OliviaBodart, OlivierCurto, FrancescoLandi, CristinaMariotti, MaurizioDevalle, GuyaLaureys, StevenTononi, GiulioMassimini, Marcello2020-07-31T12:47:26Z2020-07-31T12:47:26Z2016Annals Of Neurology. Hoboken, v. 80, n. 5, p. 718-729, 2016.0364-5134https://repositorio.unifesp.br/handle/11600/56828http://dx.doi.org/10.1002/ana.2477910.1002/ana.24779WOS:000388570800009ObjectiveValidating objective, brain-based indices of consciousness in behaviorally unresponsive patients represents a challenge due to the impossibility of obtaining independent evidence through subjective reports. Here we address this problem by first validating a promising metric of consciousnessthe Perturbational Complexity Index (PCI)in a benchmark population who could confirm the presence or absence of consciousness through subjective reports, and then applying the same index to patients with disorders of consciousness (DOCs). MethodsThe benchmark population encompassed 150 healthy controls and communicative brain-injured subjects in various states of conscious wakefulness, disconnected consciousness, and unconsciousness. Receiver operating characteristic curve analysis was performed to define an optimal cutoff for discriminating between the conscious and unconscious conditions. This cutoff was then applied to a cohort of noncommunicative DOC patients (38 in a minimally conscious state [MCS] and 43 in a vegetative state [VS]). ResultsWe found an empirical cutoff that discriminated with 100% sensitivity and specificity between the conscious and the unconscious conditions in the benchmark population. This cutoff resulted in a sensitivity of 94.7% in detecting MCS and allowed the identification of a number of unresponsive VS patients (9 of 43) with high values of PCI, overlapping with the distribution of the benchmark conscious condition. InterpretationGiven its high sensitivity and specificity in the benchmark and MCS population, PCI offers a reliable, independently validated stratification of unresponsive patients that has important physiopathological and therapeutic implications. In particular, the high-PCI subgroup of VS patients may retain a capacity for consciousness that is not expressed in behavior. Ann Neurol 2016;80:718-729Prin "Connage" (Italian Government)European Union (EU)James S. McDonnell Foundation Scholar AwardBelgian National Fund for Scientific ResearchTempleton World Charity FoundationMcDonnell FoundationDistinguished Chair in Consciousness Science at the University of WisconsinUniv Milan, Dept Biomed & Clin Sci L Sacco, Via GB Grassi 74, I-20157 Milan, ItalyFdn Europea Ric Biomed, Milan, ItalyUniv Milano Bicocca, Sch Med & Surg, Dept Hlth Sci, Monza, ItalyUniv Fed Sao Paulo, Inst Sci & Technol, Sao Jose Dos Campos, BrazilFdn Don Gnocchi Onlus, Ist Ricovero & Cura Carattere Sci, Milan, ItalyUniv Wisconsin, Dept Psychiat, Madison, WI 53706 USAUniv Wisconsin, Dept Neurol, Madison, WI 53706 USAUniv Liege, Coma Sci Grp, GIGA, Liege, BelgiumUniv Liege, Dept Neurol, Liege, BelgiumUniv Hosp Liege, Liege, BelgiumGrande Osped Metropolitano Niguarda Ca Granda, Neurocrit Care Unit, Azienda Sociosanit Terr, Dept Neurosci, Milan, ItalyInstitute of Science and Technology, Universidade Federal de São Paulo (UNIFESP), São José dos Campos, BrazilEU: 600806EU: 686764EU: 720270Web of Science718-729engWiley-BlackwellAnnals Of NeurologyStratification of unresponsive patients by an independently validated index of brain complexityinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleHoboken805info:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP11600/568282021-09-29 09:33:33.772metadata only accessoai:repositorio.unifesp.br:11600/56828Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestopendoar:34652021-09-29T12:33:33Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false
dc.title.en.fl_str_mv Stratification of unresponsive patients by an independently validated index of brain complexity
title Stratification of unresponsive patients by an independently validated index of brain complexity
spellingShingle Stratification of unresponsive patients by an independently validated index of brain complexity
Casarotto, Silvia
title_short Stratification of unresponsive patients by an independently validated index of brain complexity
title_full Stratification of unresponsive patients by an independently validated index of brain complexity
title_fullStr Stratification of unresponsive patients by an independently validated index of brain complexity
title_full_unstemmed Stratification of unresponsive patients by an independently validated index of brain complexity
title_sort Stratification of unresponsive patients by an independently validated index of brain complexity
author Casarotto, Silvia
author_facet Casarotto, Silvia
Comanducci, Angela
Rosanova, Mario
Sarasso, Simone
Fecchio, Matteo
Napolitani, Martino
Pigorini, Andrea
Casali, Adenauer Girardi [UNIFESP]
Trimarchi, Pietro D.
Boly, Melanie
Gosseries, Olivia
Bodart, Olivier
Curto, Francesco
Landi, Cristina
Mariotti, Maurizio
Devalle, Guya
Laureys, Steven
Tononi, Giulio
Massimini, Marcello
author_role author
author2 Comanducci, Angela
Rosanova, Mario
Sarasso, Simone
Fecchio, Matteo
Napolitani, Martino
Pigorini, Andrea
Casali, Adenauer Girardi [UNIFESP]
Trimarchi, Pietro D.
Boly, Melanie
Gosseries, Olivia
Bodart, Olivier
Curto, Francesco
Landi, Cristina
Mariotti, Maurizio
Devalle, Guya
Laureys, Steven
Tononi, Giulio
Massimini, Marcello
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Casarotto, Silvia
Comanducci, Angela
Rosanova, Mario
Sarasso, Simone
Fecchio, Matteo
Napolitani, Martino
Pigorini, Andrea
Casali, Adenauer Girardi [UNIFESP]
Trimarchi, Pietro D.
Boly, Melanie
Gosseries, Olivia
Bodart, Olivier
Curto, Francesco
Landi, Cristina
Mariotti, Maurizio
Devalle, Guya
Laureys, Steven
Tononi, Giulio
Massimini, Marcello
description ObjectiveValidating objective, brain-based indices of consciousness in behaviorally unresponsive patients represents a challenge due to the impossibility of obtaining independent evidence through subjective reports. Here we address this problem by first validating a promising metric of consciousnessthe Perturbational Complexity Index (PCI)in a benchmark population who could confirm the presence or absence of consciousness through subjective reports, and then applying the same index to patients with disorders of consciousness (DOCs). MethodsThe benchmark population encompassed 150 healthy controls and communicative brain-injured subjects in various states of conscious wakefulness, disconnected consciousness, and unconsciousness. Receiver operating characteristic curve analysis was performed to define an optimal cutoff for discriminating between the conscious and unconscious conditions. This cutoff was then applied to a cohort of noncommunicative DOC patients (38 in a minimally conscious state [MCS] and 43 in a vegetative state [VS]). ResultsWe found an empirical cutoff that discriminated with 100% sensitivity and specificity between the conscious and the unconscious conditions in the benchmark population. This cutoff resulted in a sensitivity of 94.7% in detecting MCS and allowed the identification of a number of unresponsive VS patients (9 of 43) with high values of PCI, overlapping with the distribution of the benchmark conscious condition. InterpretationGiven its high sensitivity and specificity in the benchmark and MCS population, PCI offers a reliable, independently validated stratification of unresponsive patients that has important physiopathological and therapeutic implications. In particular, the high-PCI subgroup of VS patients may retain a capacity for consciousness that is not expressed in behavior. Ann Neurol 2016;80:718-729
publishDate 2016
dc.date.issued.fl_str_mv 2016
dc.date.accessioned.fl_str_mv 2020-07-31T12:47:26Z
dc.date.available.fl_str_mv 2020-07-31T12:47:26Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv Annals Of Neurology. Hoboken, v. 80, n. 5, p. 718-729, 2016.
dc.identifier.uri.fl_str_mv https://repositorio.unifesp.br/handle/11600/56828
http://dx.doi.org/10.1002/ana.24779
dc.identifier.issn.none.fl_str_mv 0364-5134
dc.identifier.doi.none.fl_str_mv 10.1002/ana.24779
dc.identifier.wos.none.fl_str_mv WOS:000388570800009
identifier_str_mv Annals Of Neurology. Hoboken, v. 80, n. 5, p. 718-729, 2016.
0364-5134
10.1002/ana.24779
WOS:000388570800009
url https://repositorio.unifesp.br/handle/11600/56828
http://dx.doi.org/10.1002/ana.24779
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Annals Of Neurology
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dc.format.none.fl_str_mv 718-729
dc.coverage.none.fl_str_mv Hoboken
dc.publisher.none.fl_str_mv Wiley-Blackwell
publisher.none.fl_str_mv Wiley-Blackwell
dc.source.none.fl_str_mv reponame:Repositório Institucional da UNIFESP
instname:Universidade Federal de São Paulo (UNIFESP)
instacron:UNIFESP
instname_str Universidade Federal de São Paulo (UNIFESP)
instacron_str UNIFESP
institution UNIFESP
reponame_str Repositório Institucional da UNIFESP
collection Repositório Institucional da UNIFESP
repository.name.fl_str_mv Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)
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